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Auto-tuning rotor resistance identification of induction motor considering iron  ( EI收录)  

文献类型:期刊文献

英文题名:Auto-tuning rotor resistance identification of induction motor considering iron

作者:Wang, Aiyuan[1,2]; Ling, Zhihao[2]

机构:[1] School of Electric Engineering, Shanghai Danji University, Shanghai, China; [2] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China

年份:2009

卷号:2

起止页码:586

外文期刊名:3rd International Symposium on Intelligent Information Technology Application, IITA 2009

收录:EI(收录号:20101012756796)

语种:英文

外文关键词:Identification (control systems) - Power electronics - Iron - Magnetic cores - Equivalent circuits - Tuning - Inductance

摘要:The paper deals with rotor resistance identification of induction motor considering core loss. The rotor resistance can not be measured directly and easily varies with the increasing temperature. The problem of its identification bases on equivalent circuit. In the equivalent circuit, the equivalent resistance of core loss is in parallel with mutual inductance of induction motor in two-phase stationary frame. Based on the model, an algorithm of auto-tuning rotor resistance identification has been deduced in steady state. Then a case of induction motor considering iron loss has been simulated for rotor resistance identification. In steady-state operation, the auto-tuning identified result smoothly matches actual value. In dynamic-state operation, the identification algorithm is inaccuracy. Due to the large thermal time constant and temporary dynamic state, some measures have been taken to hold the identified output result. The rotor resistance identification is valid and feasible. ? 2009 IEEE.

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